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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - The Complete Neural Networks Bootcamp Theory, Applications

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	43f148d4ac20cc5bf65b0efeac89ffd575208065
Size:	18.8 GB in 99 files
Release Date(s):	Torrent Release: 06-02-2022 by user
Swarm:	0 Seeds & 0 Peers
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DESCRIPTION

Udemy - The Complete Neural Networks Bootcamp: Theory, Applications
This course is a comprehensive guide to Deep Learning and Neural Networks. The theories are explained in depth and in a friendly manner. After that, we'll have the hands-on session, where we will be learning how to code Neural Networks in PyTorch, a very advanced and powerful deep learning framework!
For more Udemy Courses: https://tutorialsplanet.net

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FILE LIST

Filename		Size
	1. How Neural Networks and Backpropagation Works/1. What Can Deep Learning Do-en_US.srt	18.2 KB
	1. How Neural Networks and Backpropagation Works/1. What Can Deep Learning Do.mp4	156.2 MB
	1. How Neural Networks and Backpropagation Works/2. The Rise of Deep Learning-en_US.srt	8.1 KB
	1. How Neural Networks and Backpropagation Works/2. The Rise of Deep Learning.mp4	41.8 MB
	1. How Neural Networks and Backpropagation Works/3. The Essence of Neural Networks-en_US.srt	12.8 KB
	1. How Neural Networks and Backpropagation Works/3. The Essence of Neural Networks.mp4	50 MB
	1. How Neural Networks and Backpropagation Works/4. The Perceptron-en_US.srt	21.2 KB
	1. How Neural Networks and Backpropagation Works/4. The Perceptron.mp4	110.9 MB
	1. How Neural Networks and Backpropagation Works/5. Gradient Descent-en_US.srt	15.2 KB
	1. How Neural Networks and Backpropagation Works/5. Gradient Descent.mp4	40.6 MB
	1. How Neural Networks and Backpropagation Works/6. The Forward Propagation-en_US.srt	13.8 KB
	1. How Neural Networks and Backpropagation Works/6. The Forward Propagation.mp4	52.2 MB
	1. How Neural Networks and Backpropagation Works/7. Backpropagation Part 1-en_US.srt	14.2 KB
	1. How Neural Networks and Backpropagation Works/7. Backpropagation Part 1.mp4	29.4 MB
	1. How Neural Networks and Backpropagation Works/8. Backpropagation Part 2-en_US.srt	12 KB
	1. How Neural Networks and Backpropagation Works/8. Backpropagation Part 2.mp4	27.8 MB
	1. How Neural Networks and Backpropagation Works/Before Proceeding with the Backpropagation.html	341 B
	1. How Neural Networks and Backpropagation Works/BEFORE STARTING...PLEASE READ THIS.html	630 B
	10. Visualize the Learning Process/1. Visualize Learning Part 1-en_US.srt	12 KB
	10. Visualize the Learning Process/1. Visualize Learning Part 1.mp4	24.4 MB
	10. Visualize the Learning Process/2. Visualize Learning Part 2-en_US.srt	2.5 KB
	10. Visualize the Learning Process/2. Visualize Learning Part 2.mp4	12.2 MB
	10. Visualize the Learning Process/3. Visualize Learning Part 3-en_US.srt	10.3 KB
	10. Visualize the Learning Process/3. Visualize Learning Part 3.mp4	27.4 MB
	10. Visualize the Learning Process/4. Visualize Learning Part 4-en_US.srt	7 KB
	10. Visualize the Learning Process/4. Visualize Learning Part 4.mp4	20.1 MB
	10. Visualize the Learning Process/5. Visualize Learning Part 5-en_US.srt	14.1 KB
	10. Visualize the Learning Process/5. Visualize Learning Part 5.mp4	71.7 MB
	10. Visualize the Learning Process/6. Visualize Learning Part 6-en_US.srt	10 KB
	10. Visualize the Learning Process/6. Visualize Learning Part 6.mp4	64.4 MB
	10. Visualize the Learning Process/7. Neural Networks Playground-en_US.srt	6.8 KB
	10. Visualize the Learning Process/7. Neural Networks Playground.mp4	32.5 MB
	11. Implementing a Neural Network from Scratch with Numpy/1. The Dataset and Hyperparameters-en_US.srt	15.6 KB
	11. Implementing a Neural Network from Scratch with Numpy/1. The Dataset and Hyperparameters.mp4	70.5 MB
	11. Implementing a Neural Network from Scratch with Numpy/2. Understanding the Implementation-en_US.srt	10.9 KB
	11. Implementing a Neural Network from Scratch with Numpy/2. Understanding the Implementation.mp4	23.4 MB
	11. Implementing a Neural Network from Scratch with Numpy/3. Forward Propagation-en_US.srt	15.3 KB
	11. Implementing a Neural Network from Scratch with Numpy/3. Forward Propagation.mp4	85.2 MB
	11. Implementing a Neural Network from Scratch with Numpy/4. Loss Function-en_US.srt	21 KB
	11. Implementing a Neural Network from Scratch with Numpy/4. Loss Function.mp4	68.5 MB
	11. Implementing a Neural Network from Scratch with Numpy/5. Prediction-en_US.srt	6.9 KB
	11. Implementing a Neural Network from Scratch with Numpy/5. Prediction.mp4	27.7 MB
	11. Implementing a Neural Network from Scratch with Numpy/6. Backpropagation Equations-en_US.srt	15.9 KB
	11. Implementing a Neural Network from Scratch with Numpy/6. Backpropagation Equations.mp4	98.8 MB
	11. Implementing a Neural Network from Scratch with Numpy/7. Backpropagation-en_US.srt	27.6 KB
	11. Implementing a Neural Network from Scratch with Numpy/7. Backpropagation.mp4	148.1 MB
	11. Implementing a Neural Network from Scratch with Numpy/8. Initializing the Network-en_US.srt	8.3 KB
	11. Implementing a Neural Network from Scratch with Numpy/8. Initializing the Network.mp4	58.9 MB
	11. Implementing a Neural Network from Scratch with Numpy/9. Training the Model-en_US.srt	5.3 KB
	11. Implementing a Neural Network from Scratch with Numpy/9. Training the Model.mp4	47.2 MB
	11. Implementing a Neural Network from Scratch with Numpy/Notebook for the following Lecture.html	532 B
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/1. Code Details-en_US.srt	2.7 KB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/1. Code Details.mp4	31.9 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/2. Importing and Defining Parameters-en_US.srt	15.9 KB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/2. Importing and Defining Parameters.mp4	142.2 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/3. Defining the Network Class-en_US.srt	12 KB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/3. Defining the Network Class.mp4	86 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/4. Creating the network class and the network functions-en_US.srt	0 B
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/4. Creating the network class and the network functions.mp4	56.2 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/5. Training the Network-en_US.srt	32.6 KB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/5. Training the Network.mp4	333.2 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/6. Testing the Network-en_US.srt	5.7 KB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/6. Testing the Network.mp4	47.1 MB
	12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/The MNIST Dataset.html	421 B
	13. Convolutional Neural Networks/1. Prerequisite Filters-en_US.srt	6.3 KB
	13. Convolutional Neural Networks/1. Prerequisite Filters.mp4	36.4 MB
	13. Convolutional Neural Networks/10. Important formulas-en_US.srt	6.8 KB
	13. Convolutional Neural Networks/10. Important formulas.mp4	13.4 MB
	13. Convolutional Neural Networks/11. CNN Characteristics-en_US.srt	10.8 KB
	13. Convolutional Neural Networks/11. CNN Characteristics.mp4	45.9 MB
	13. Convolutional Neural Networks/12. Regularization and Batch Normalization in CNNs-en_US.srt	4.7 KB
	13. Convolutional Neural Networks/12. Regularization and Batch Normalization in CNNs.mp4	18.2 MB
	13. Convolutional Neural Networks/13. DropBlock Dropout in CNNs-en_US.srt	15.4 KB
	13. Convolutional Neural Networks/13. DropBlock Dropout in CNNs.mp4	99.5 MB
	13. Convolutional Neural Networks/14. Softmax with Temperature-en_US.srt	12.6 KB
	13. Convolutional Neural Networks/14. Softmax with Temperature.mp4	27.3 MB
	13. Convolutional Neural Networks/2. Introduction to Convolutional Networks and the need for them-en_US.srt	9.2 KB
	13. Convolutional Neural Networks/2. Introduction to Convolutional Networks and the need for them.mp4	25.1 MB
	13. Convolutional Neural Networks/3. Filters and Features-en_US.srt	12.2 KB
	13. Convolutional Neural Networks/3. Filters and Features.mp4	51.9 MB
	13. Convolutional Neural Networks/4. Convolution over Volume Animation-en_US.srt	4.5 KB
	13. Convolutional Neural Networks/4. Convolution over Volume Animation.mp4	21.3 MB
	13. Convolutional Neural Networks/5. More on Convolutions-en_US.srt	8.7 KB
	13. Convolutional Neural Networks/5. More on Convolutions.mp4	30 MB
	13. Convolutional Neural Networks/6. Quiz Solution Discussion-en_US.srt	4.5 KB
	13. Convolutional Neural Networks/6. Quiz Solution Discussion.mp4	5.9 MB
	13. Convolutional Neural Networks/7. A Tool for Convolution Visualization-en_US.srt	6 KB
	13. Convolutional Neural Networks/7. A Tool for Convolution Visualization.mp4	28 MB
	13. Convolutional Neural Networks/8. Activation, Pooling and FC-en_US.srt	16.9 KB
	13. Convolutional Neural Networks/8. Activation, Pooling and FC.mp4	80.7 MB
	13. Convolutional Neural Networks/9. CNN Visualization-en_US.srt	2.7 KB
	13. Convolutional Neural Networks/9. CNN Visualization.mp4	15.4 MB
	13. Convolutional Neural Networks/Convolution over Volume Animation Resource.html	321 B
	14. Practical Convolutional Networks in PyTorch - Image Classification/1. Loading and Normalizing the Dataset-en_US.srt	16 KB
	14. Practical Convolutional Networks in PyTorch - Image Classification/1. Loading and Normalizing the Dataset.mp4	52.6 MB
	14. Practical Convolutional Networks in PyTorch - Image Classification/10. Classifying your own Handwritten images-en_US.srt	15.3 KB
	14. Practical Convolutional Networks in PyTorch - Image Classification/10. Classifying your own Handwritten images.mp4	55.7 MB
	14. Practical Convolutional Networks in PyTorch - Image Classification/2. Visualizing and Loading the Dataset-en_US.srt	12.4 KB
	14. Practical Convolutional Networks in PyTorch - Image Classification/2. Visualizing and Loading the Dataset.mp4	60.7 MB

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